ArticleDavid M. Berry and Sarah CistonResearch
Early computing history frequently omitted the contributions and identities of women. Uncovering the person behind the famous interaction addresses historical erasure and provides context for the 'ELIZA effect'—a phenomenon still central to human interactions with modern LLMs.
Berry and Ciston deploy software archaeology to interrogate foundational AI narratives. By comparing 1965 archive transcripts with the published versions from 1966 and 1976, they demonstrate that the foundational ELIZA transcript was subject to editorial curation rather than being an unmediated single log. Their enquiry highlights how the MIT Project MAC environment operated as a gendered hierarchy, in which administrative staff provided critical conversational input and sparked key psychological insights on anthropomorphism while remaining anonymous.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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